缓慢的应用程序会流失用户、减少收入并降低 SEO 排名。我们采用数据驱动的方法来优化性能——分析您技术栈的每一层,识别影响最大的瓶颈,并实施可带来可衡量改进的解决方案。没有猜测,只有可衡量的结果。
我们使用 Lighthouse、WebPageTest 和 Chrome DevTools 进行前端分析;使用 APM 工具(DataDog、New Relic)进行后端性能分析;使用 pg_stat_statements 和 EXPLAIN ANALYZE 进行数据库优化;使用 k6 进行负载测试。结果通过真实用户监控进行验证。
适用于页面加载缓慢、API 延迟高、Lighthouse 分数不佳或在负载下性能下降的应用程序。无论您是为规模扩展做准备、解决用户投诉,还是优化 SEO 和转化率,我们都能带来可衡量的性能提升。
对所有技术栈层进行全面性能分析。识别主要瓶颈并量化改进潜力。
根据用户影响和工作量确定修复优先级。设定目标指标并定义成功标准。
执行优化——缓存、查询修复、打包优化、基础设施调优。
进行负载测试,根据基线衡量改进,并在接近生产环境的条件下进行验证。
部署性能仪表盘,设置预算和警报,并建立性能回退预防机制。
We optimize the full application stack including frontend rendering, API response times, database queries, memory usage, CPU utilization, network latency, and third-party service calls to deliver a fast, responsive user experience.
Application performance optimization at MicrocosmWorks is available at $20-$50/hour. We prioritize optimizations by impact, so you see the biggest improvements early in the engagement.
Yes, we optimize React and Next.js applications by implementing code splitting, lazy loading, server-side rendering, image optimization, bundle size reduction, memoization, and virtual scrolling to achieve sub-second page loads.
We use distributed tracing with tools like Jaeger or Datadog APM, frontend profiling with Lighthouse and Web Vitals, and backend profiling to trace every request from browser to database, identifying exactly where time is spent.
Yes, we specifically optimize Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift by addressing render-blocking resources, optimizing images, reducing JavaScript execution time, and implementing proper layout reservations.